On the Importance of Performing HRV Analysis on Subjects Using Narcotic Drugs.

Similar documents
Analysis of Brain-Neuromuscular Synchronization and Coupling Strength in Muscular Dystrophy after NPT Treatment

Approaches to the Autonomic Nervous System in Female Athletes

Frequency Domain Analysis of Heart Rate Variability (HRV) Among the Resident Population of North Eastern Hilly Regions of West Bengal

BRAIN IN THE HEART. Eternity In Our Hearts

Heart Rate Variability in Heart Failure and Sudden Death

MAX PULSE RESULT INTERPRETATION GUIDE PROVE CLINICAL EFFICACY IMPROVE CLINICAL OUTCOMES IMPROVE PATIENT ADHERENCE

COMPARISON OF LINEAR AND NON-LINEAR ANALYSIS OF HEART RATE VARIABILITY IN SEDATED CARDIAC SURGERY PATIENTS

PSD Graph. The HRV spectral analysis of ECG signal

The effects of general anaesthesia on heart rate variability during abdominal surgery

CHAPTER 3 HEART RATE VARIABILITY

Estimating Mental Stress Using a Wearable Cardio-Respiratory Sensor

Heart-rate Variability Christoph Guger,

Measuring autonomic activity Heart rate variability Centre for Doctoral Training in Healthcare Innovation

HRV ventricular response during atrial fibrillation. Valentina Corino

Complexity of cardiovascular control in amyotrophic lateral sclerosis patients is related to disease duration

Association of Arg16Gly Polymorphism of the Beta-2 Adrenergic receptor with Baroreflex Sensitivity and Indices of Autonomic Cardiovascular Modulation

HEART RATE VARIABILITY MEASUREMENTS DURING EXERCISE TEST MAY IMPROVE THE DIAGNOSIS OF ISCHEMIC HEART DISEASE

Heart Rate Variability Analysis Using the Lomb-Scargle Periodogram Simulated ECG Analysis

Time-Frequency Analysis of Heart Rate Variability Signal in prognosis of Type 2 Diabetic Autonomic Neuropathy

Feature extraction by wavelet transforms to analyze the heart rate variability during two meditation technique

HRV in Diabetes and Other Disorders

Use of Signal Averaged ECG and Spectral Analysis of Heart Rate Variability in Antiarrhythmic Therapy of Patients with Ventricular Tachycardia

Key words: HRV db, Family history of Hypertension, Heart Rate, Blood pressure

At the Core of Medical Technology INTRODUCTION SA3000P

Emotional State Recognition via Physiological Measurement and Processing

Matrix Energetics Research Brainwaves and Heart waves Research on Matrix Energetics in Action

Inner Balance Assessment Using Methods of the Heart Rate Variability Analysis

CARE. A Dissertation. presented to. the Faculty of the Graduate School. at the University of Missouri. In Partial Fulfillment

Effect of Postural Changes on Baroreflex Sensitivity: A study on the EUROBAVAR data set

Research Article Increase of Short-Term Heart Rate Variability Induced by Blood Pressure Measurements during Ambulatory Blood Pressure Monitoring

Heart rate variability and respiratory sinus arrhythmia assessment of affective states by bivariate autoregressive spectral analysis

Effects of Breathing Practice in Vinyasa Yoga on Heart Rate Variability in University Students

Figure removed due to copyright restrictions.

Analysis of Heart Rate Variability Linked with Autonomic Nervous System

Details on the procedure and devices used for assessment and calculation of

ESTECK Status Report [Abridged]

International Journal of Health Sciences and Research ISSN:

Time-Frequency and. Point Process Algorithms for. Cardiac Arrhythmia Analysis. and Cardiorespiratory Control

Continuous Wavelet Transform in ECG Analysis. A Concept or Clinical Uses

Insulin resistance influences 24h heart rate and blood pressure variabilities and cardiovascular autonomic modulation in normotensive healthy adults

Prediction of Life-Threatening Arrhythmia in Patients after Myocardial Infarction by Late Potentials, Ejection Fraction and Holter Monitoring

A new telemedical system for application in the cosmos and on Earth

Arbolishvili GN, Mareev VY Institute of Clinical Cardiology, Moscow, Russia

CESAER Annual Seminar: Biomedical Signal Processing in Vital Sign Analysis: a Key Role for the Implementation of Advanced Technological Tools

mobile monitoring... the fastest way to improved health

2013 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media,

Note: At the end of the instructions, you will find a table which must be filled in to complete the exercise.

The HeartMath Resilience Advantage Program

nervous system calculation of Heart Rate Variability

Contactless Heart Rate Variability Measurement

IDENTIFICATION OF TACHYCARDIA AND BRADYCARDIA HEART DISORDERS USING WAVELET TRANSFORM BASED QRS DETECTION

Patient Resources: Syncope

Comparison of the acute effects of salbutamol and terbutaline on heart rate variability in adult asthmatic patients

Evaluation of heart rate variability and cardiac autonomic control on exposure to Indian music and slow music yoga asana before sleep at night.

MARS Ambulatory ECG Analysis The power to assess and predict

Signal Processing Methods For Heart Rate Variability Analysis

The modification of heart rate variability in normal, overweight and type 2 diabetic individuals.

A STUDY OF STRESS AND AUTONOMIC NERVOUS FUNCTION IN FIRST YEAR UNDERGRADUATE MEDICAL STUDENTS

Department of Electronics and Communication Engineering, MNM Jain Engineering College, Chennai, India. Abstract

EFFECTS OF ISOFLURANE INHALATION ANESTHESIA ON MOUSE ECG

Kubios HRV Heart Rate Variability Analysis Software

Pathfinder Holter Analyzer CARDIAC DIAGNOSTIC SOLUTIONS

Keywords: Gyrosonics, Moving sound, Autonomic nervous system, Heart rate variability

Analysis and Characterisation of Heart Rate Variability (HRV) Data of Different Sets of Subjects Using Nonlinear Measure (Approximate Entropy)

Heart Rate Variability Saga. N.I.Yabluchansky

Coronary Artery Disease

Heart rate variability

Heart rate variability

500 HEART BEATS FOR ASSESSING DIABETIC AUTONOMIC NEUROPATHY MJ. Lafitte *, M. Fèvre-Genoulaz *, SS. Srikanta **, L. Punitha **, S.

Linear Analysis Variability of Signal

Know your numbers. and what they mean. Contents HOME INDEX

arxiv:physics/ v1 4 Jun 2004

Lithuanian University of Health Sciences, Academy of Medicine, Institute of Cardiology, Lithuania 4

Effect of haemoglobin concentration on cardiovascular system by heart rate variability modulations

Extraction of Unwanted Noise in Electrocardiogram (ECG) Signals Using Discrete Wavelet Transformation

Monitoring the Autonomic Nervous Activity as the Objective Evaluation of Music Therapy for Severely and Multiply Disabled Children

EKG Abnormalities. Adapted from:

Assessing Heart Rate Variability as a Surrogate Measure of Cardiac Autonomic Function in Chronic Traumatic Spinal Cord Injury

A Review of Heart Rate Variability and its Applications

Design of the HRV Analysis System Based on AD8232

Sensors & Transducers 2014 by IFSA Publishing, S. L.

Real-time ECG for objective stress level measurement

Received November 19, 2012; revised December 20, 2012; accepted December 27, 2012

IMPLICATIONS OF HEART RATE RHYTHM ANALYSIS FOR THE STUDY OF LIFEWAVE PATCHES Thomas Budzynski Helen Budzynski Jean Tang

The Heart of a Cyclist Insights from Sports Cardiology. Michel Accad, MD February 21, 2018 UCSF Mini Medical School

Segmenting cardiac-related data using sleep stages increases separation between normal subjects and apnœic patients

Sleep Apnoea Detection in Single Channel ECGs by Analyzing Heart Rate Dynamics

How is it possible to preview acute HF?

Documentation. for. Part 1: Basics, Deep Breathing Test, Short Term HRV, HRV-Biofeedback / Qiu, Parameters, FAQ, HRV and Respiration

Autonomic nervous system function and behavioral characteristics in (pre)adolescents from a general population cohort Dietrich, Andrea

ECG Beat Recognition using Principal Components Analysis and Artificial Neural Network

Heart rate and ventricular repolarization variabilities interactions modification by microgravity simulation during head-down bed rest test

Explanations of terms and definitions

Available online at

International Journal of Research in Advent Technology DEVELOPMENT OF A SYSTEM FOR ASSESSMENT OF HRV

RELIABILITY OF MEASURES OF AUTONOMIC ACTIVITY DURING ACUTE HYPOXIC EXPOSURES

Detection of Atrial Fibrillation by Correlation Method

Announcements 2/23/04. Electricity test if you need to retake it, please make sure to schedule time to do so 3x5 time

AUTONOMIC SIGNAL PROCESSING DURING G.I. STIMULATION

Transcription:

Case Report. On the Importance of Performing HRV Analysis on Subjects Using Narcotic Drugs. Elio Conte (1), Rich Norman (1), Leonardo Mendolicchio (1,2), Franco Orsucci (3), Francesco Casciaro Losito (1,4), Anna Maria Losito (1,5), Gabriele De Masi De Luca (1,6) (1) School of Advanced International Studies on Applied Theoretical and non Linear Methodologies of Physics, Bari, Italy (2) Clinic Villa Miralago, ASL Varese, Italy (3) Psychoanalysis Unit, University College, London, England (4) Department of Basic Sciences and Human Oncology, University of Bari, Bari, Italy (5) Clinic Santa Maria, G.V.M. Hospital, Bari, Italy (6) UTIC Hospital "Cardinale G. Panico", Unit of Cardiology, Tricase, Lecce, Italy Abstract: We demonstrate the potential value of performing an HRV analysis at rest and in the condition of controlled respiration as a basic test for subjects suspected of using narcotic drugs. Key words: HRV Analysis, Autonomic Nervous System (ANS) dysfunction, Narcotic Drugs. The present note is written to alert cardiologists, psychiatrists and toxicologists concerning the importance of performing Heart Rate Variability Analysis (HRV) upon subjects using narcotic drugs. In relation to this potential use, we present the case of a young female subject upon whom was performed an R-R recording and an ECG. The R-R recording was analyzed in real time, one time with the subject at rest and the second time within a regime of controlled respiration by automatic software driving the subject. The result is a profound, long, rhythmic, structured inspiration and expiration, which carefully avoids any stress for the subject. The results are given in Figures 1, 2, 3. In Figure 1 we have the tachogram and the real time results of the R-R analysis with the subject at rest.

Figure 1. HRV Analysis, subject at rest, identification number: E.R. 22-04-2014 The instrument gives the results in Italian that we translate to aid this discussion. At the lower right we have the recorded tachogram where in abscissa we have the number of heart beats and in ordinate the corresponding R-R values. At the lower left we have the arising Fast Fourier analysis, Power Spectral Analysis, while at the top left we have the results obtained by quantitative analysis performed in real time with reference on the right to the normal ranges indicated for age class ranging from 20 to 45 years old subjects and reporting in detail the BpM, the Variability of the R-R intervals, labeled as Dev. Standard 2 Tacogramma, and, finally, the Total Power, the VLF and LF and HF band values reported in msec and in logarithmic value. The top right red dot indicates the deviation of the results obtained compared with the normal range marked in yellow for the LF sympathetic and HF parasympathetic modulations reported respectively in abscissa and in ordinate graphic representation. The results indicate a moderate increase of the Heart Rate (HR) but a strongly reduced variability (25.5 msec) and reduced values of the ANS modulations since all the Total Power, VLF, LF, HF band values are under the limit of acceptance as normal ANS modulations. The automatic evaluative software of the instrument categorizes all the obtained parameters as "low". All know the scientifically validated high risk incurred in such a young subject demonstrating substantially reduced heart rate ANS modulation. Figure 2 gives results obtained in the condition of controlled respiration as previously explained.

Figure 2. The HRV analysis of the same subject with recording performed within a regime of controlled respiration. HRV Analysis, subject under controlled respiration, identification number: E.R. 22-04-2014 The Fast Fourier Analysis confirms that the recording was performed within a regime of controlled respiration with net peaks ranging about 0.08-0.1 Hz, that is to say about 5-6 breaths/minute. The very surprising result is the tachogram reported in the lower right picture. This is the reason for our report. This tachogram is so surprising and atypical compared to the traditional tachogram that is recorded in conditions of controlled breathing, which is ideally represented in Figure 3, as is of importance to all scholars and experts who normally perform HRV. Abnormalities can be identified as a clear warning sign to be used in their clinical practice.

Figure 3. RSA of a normal young subject during controlled respiration. We retain that the anomalies delineated in the tachogram of Figure 2 demonstrate that the cardiac electrophysiological abnormalities which appear within the controlled breathing test, may be dictated by exogenous substances (drugs or narcotic drugs) which might have direct cardiotoxic action or influence/create central abnormalities that can cascade, hence determining alterations in the cardiac conduction system. To support the thesis which recommends HRV analysis in all cases in which the clinician may suspect the physio-pathological condition just mentioned, we also add here the electrocardiogram that was performed on the same date on the same subject, recoded at 250 Hz. A ECG fragment is reported in Figure 4. Figure 4. Recorded ECG at 250 Hz (subject at rest; identification number: E.R. 22-04-2014)

Conclusion We hypothesize from the empirical evidence and analysis above, that HRV and other associated factors may well provide a vital noninvasive window into the emergent interactive cardiac dynamics indicative of drug induced toxicity, thereby allowing identification of abused illicit substances, to encourage rapid diagnosis and treatment. Studies constructed in a stepwise fashion which identify the particular signature abnormalities of each substance are advised. In this way, the partial information on the subject [1, 2, 3, 4] may be rightly organized and greatly supplemented, so as to create a noninvasive diagnostic tool which could be made available within the context of general medical practice, and emergency care. References 1) Komatsu T, Singh PK, Kimura T, Nishiwaki K, Bando K, Shimada Y, Differential effects of ketamine and midazolam on heart rate variability. Can J Anaesth. 1995 Nov; 42(11): 1003-9. (https://www.ncbi.nlm.nih.gov/pubmed/8590488) 2) Witchel HJ, Hancox JC, Nutt DJ, Psychotropic drugs, cardiac arrhythmia, and sudden death. J Clin Psychopharmacol., 2003 Feb; 23(1): 58-77. (https://www.ncbi.nlm.nih.gov/pubmed/12544377) 3) Yates C and Manini AF, Utility of the Electrocardiogram in Drug Overdose and Poisoning: Theoretical Considerations and Clinical Implications, Curr Cardiol Rev. 2012 May; 8(2): 137-151, Published online 2012 May. doi: 10.2174/157340312801784961, (https://www.ncbi.nlm.nih.gov/pmc/articles/pmc3406273/) 4) http://www.medscape.com/viewarticle/755809_4